About me
Hello! I am a Ph.D. student in Computer Science at Georgetown University located in Washington, DC. I am working with Prof. Lisa Singh on Data Science, Social Media Mining and NLP.
Most of my projects are collaborations with CNN, Washington Post, UMich and MDI on leveraging AI/ML methods for data-centric social concerns such as sentiment analysis, misinformation, fake news, force-migration, spam.
News
- I served as a reviewer at EMNLP 2021.
I joined
AutoML team in 
Google Cloud AI as a PhD intern.- Our paper has been accepted as a long paper at NAACL 2021.
- Our project with
known as The Breakthrough is reported weekly on CNN Politics. - Our paper has been published in the Journal of Computational Social Science.
- Our work about COVID-19 misinformation was reported on
Washington Post. - Started building this web page.
Interests
- AI, ML, Data Science
- Natural Language Processing
- Misinformation / Fake News
Education
PhD in Computer Science, 2017 - present
Georgetown University
BEng in Computer Engineering, 2012 - 2016
Chulalongkorn University
Skills
Python
Machine Learning
Data Science
Experience
Software Engineer Intern (AI/ML)
- Research, experiment and implement new features for Google AI products used by millions of people around the world.
- Collaborate with Google AutoML, Google Cloud AI and Google Brain teams.
Research Intern
Research in data science, NLP and social media mining focusing on misinformation and fake news in social media. Collaborate with researchers from CNN and University of Michigan to conduct and weekly report our analysis about the US election at The Breakthrough.
Teaching Assistant
- COSC-282 Big Data Analytics (Undergraduate Level - Spring 2018)
- COSC-287 Introduction to Data Science (Undergraduate Level - Fall 2019)
- COSC-587 Introduction to Data Analytics (Graduate Level - Fall 2021)
Research Assistant
- Advise student research groups working on social media mining projects.
- Conduct research funded by Massive Data Institute (MDI) and National Science Foundation (NSF).
Software Engineer
Gather requirements, design, development, testing and validation using Ruby on Rails. Successfully developed APIs to reduce back-office operation time by 75% including PDF bill generation, email confirmation, bank account notification for Slack, etc.
Research in Neuroscience and Machine Learning mainly using MATLAB and C++. The advisor is Prof. Masayuki Numao. Collaboratively conduct experiments with the Biochemical Lab (Nagai Lab) and develop APIs to collect streaming data from EEG brainwave headset in C++ and apply ML model to evaluate user’s emotions.
Research Assistant
I was a member of Machine Intelligence and Knowledge Discovery Lab (MIND Lab) conducting research to solve data science problems in real-world including wind power prediction from power plants (time series), emotion prediction from brain wave (neuroscience and ML/AI) and analysis of course materials (text mining).
Publications
(2021).
Knowledge Enhanced Masked Language Model for Stance Detection.
In NAACL.
(2021).
Towards Automatic Comparison of Data Privacy Documents: A Preliminary Experiment on GDPR-like Laws.
In arXiv.
(2020).
A first look at COVID-19 information and misinformation sharing on Twitter.
In arXiv.
Related Courses
Graduate-level
- Algorithms
- Machine Learning
- Neural Networks and Deep Learning
- Text Mining & Analysis
- Intro to Data Analytics
- Massive Data Fundamentals
- Web Search and Sense Making (Scala)
- Dialogue Systems
- Algorithms for Distributed Machine Learning (Ph.D. Seminar)
- Distributed Algorithms and Systems (Ph.D. Seminar)
- Data Protection by Design (Ph.D. Seminar)
- Deep Reinforcement Learning (Ph.D. Sit-in)
Undergraduate-level
- Algorithm Design
- Artificial Intelligence
- Software Engineering
- Auto Speech Recognition
- Time Series Mining
- Web Development
- Statistics for Physical Science
- Data Structure (C++)
- Programming Method (JAVA)
- Distributed System Essential
- System Analysis and Design
- Computer Security
- Database Design
- Computer Network
- Computer Graphic
Contact
- kornraphop.k [at] gee-mail